• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• 품질경영학회지
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• 제41권4호
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• pp.513-525
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• 2013

Purpose: The purpose of this paper are to propose a strategic map for hotel industry through analyzing the relationship between service resource, operational capabilities, and performance. Methods: A phone survey was conducted among Korean hotels, and 102 data sets were collected. Measurement items are assessed using both cognitive and objective scales. Results: As results, 'superior group', which is superior in both physical resources and human resources, is excellent in all capabilities and also in room occupancy rate. On the other hands, 'inferior group', which is inferior in both physical resources and human resources, shows lower achievements is in most areas except speed. In addition, physical superior group is better than human superior group in most capabilities except speed, but human superior group shows better results than physical superior group in both room occupancy rate and customer satisfaction. Conclusions: Through the empirical analysis, the conclusions attained are as follows; First, human resources affect customer satisfaction more directly that physical resources. Second, the balancing between physical resources and human resources has an importance to improve operational capabilities.

• Nuclear Engineering and Technology
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• 제41권5호
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• pp.747-752
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• 2009

A vulnerability assessment is essential for the efficient operation of a physical protection system (PPS). Previous assessment codes have used a simple model called an adversary sequence diagram. In this study, the use of a two-dimensional (2D) map of a facility as a model for a PPS is suggested as an alternative approach. The analysis of a 2D model, however, consumes a lot of time. Accordingly, a generalized heuristic algorithm has been applied to address this issue. The proposed assessment method was implemented to a computer code; Systematic Analysis of physical Protection Effectiveness (SAPE). This code was applied to a variety of facilities and evaluated for feasibility by applying it to various facilities. To help upgrade a PPS, a sensitivity analysis of all protection elements along a chosen path is proposed. SAPE will help to accurately and intuitively assess a PPS.

• 한국시뮬레이션학회논문지
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• 제21권2호
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• pp.59-67
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• 2012

그리드 컴퓨팅은 하나의 대용량 작업을 처리하도록 물리 자원을 구성하고 있지만 최근에는 데이터의 급속한 증가로 인해서 복수개의 작업을 처리하는 방법이 필요하다. 일반적으로 대용량 작업을 요청하면 각 물리 자원들이 작업을 분할하게 되며, 자원의 성능과 거리에 따라 처리 시간이 다르다. 성능에 따라 먼저 완료된 유효자원은 어떠한 작업도 하지 않으며, 모든 작업이 끝났을 경우에 다음 작업을 처리한다. 이에 본 논문에서는 먼저 처리가 완료된 자원을 다른 작업에 할당할 수 있는 동적 자원 재배치 스케줄링 모델(DRRSM: Dynamic Resource Reallocation Scheduling Model)을 제안한다. DRRSM은 먼저 처리가 완료된 자원을 다른 작업에 자원의 성능과 거리에 따라 작업을 재배치시키는 방법이다. DRRSM은 여러 개의 대용량 작업을 처리하는데 효과적이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.3841-3861
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• 2017

Virtualized small cell network is a promising architecture which can realize efficient utilization of the network resource. However, conventional full duplex self-backhauls lead to residual self-interference, which limits the network performance. To handle this issue, this paper proposes a virtual resource allocation, in which the residual self-interference is fully exploited by employing a physical-layer network coding (PNC) aided self-backhaul scheme. We formulate the features of PNC as time slot and information rate constraints, and based on that, the virtual resource allocation is formulated as a mixed combinatorial optimization problem. To solve the problem efficiently, it is decomposed into two sub problems, and a two-phase iteration algorithm is developed accordingly. In the algorithm, the first sub problem is approximated and transferred into a convex problem by utilizing the upper bound of the PNC rate constraint. On the basis of that, the convexity of the second sub problem is also proved. Simulation results show the advantages of the proposed scheme over conventional solution in both the profits of self-backhauls and utility of the network resource.

• 한국사회복지학
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• 제65권2호
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• pp.335-356
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• 2013

이 연구는 저소득층이 겪는 물리적 자원에서의 상실과 획득이 안녕감에 어떠한 영향을 주는지 그리고 이들이 경제환경과 상호작용하며 경험하는 경제적 안정감이 그러한 상실 및 획득의 영향을 받아 안녕감에 어떠한 역할을 하는지를 탐색하고자 하였다. 이에 자활센터를 이용하는 저소득층 남녀 성인 254명을 대상으로 물리적 자원의 상실과 획득, 경제안정, 안녕감의 수준을 살펴보고, 자원의 상실 및 획득 각각이 안녕감에 영향을 주는 관계와 이 관계에서 경제안정 수준이 보이는 매개역할을 구조방정식모형 분석으로 검토하였다. 주요 연구결과는 첫째, 참여자들은 물리적 자원을 약간 잃거나 얻은 수준이고 획득이 상대적으로 높았다. 둘째, 경제안정 및 안녕감과의 관계에서 자원상실은 유의한 부적관계를, 획득은 유의한 정적 관계를 보였다. 셋째, 자원상실은 경제안정과 안녕감 각각에 대해 유의한 부적인 직접효과를 보인 한편 경제안정의 감소를 통해 안녕감을 감소시키는 간접효과도 유의하였다. 끝으로, 자원획득 역시 경제안정과 안녕감 각각에 대해 유의한 직접효과를 보이고 또 경제안정을 통한 정적인 간접효과가 유의하여 자원상실과 획득 두 모형 모두에서 부분매개모형이 지지되었다. 이러한 결과에 기초하여 사회복지실천에서 저소득층 성인의 생활과 밀접히 관련되는 물리적 자원의 상실 및 획득, 경제안정, 안녕감을 활용할 방안과 조사연구에서 가질 수 있는 함의를 찾고 제언하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4776-4798
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• 2015

The location selection of virtual machines in distributed cloud is difficult because of the physical resource distribution, allocation of multi-dimensional resources, and resource unit cost. In this study, we propose a multi-object virtual machine location selection algorithm (MOVMLSA) based on group information, doubly linked list structure and genetic algorithm. On the basis of the collaboration of multi-dimensional resources, a fitness function is designed using fuzzy logic control parameters, which can be used to optimize search space solutions. In the location selection process, an orderly information code based on group and resource information can be generated by adopting the memory mechanism of biological immune systems. This approach, along with the dominant elite strategy, enables the updating of the population. The tournament selection method is used to optimize the operator mechanisms of the single-point crossover and X-point mutation during the population selection. Such a method can be used to obtain an optimal solution for the rapid location selection of virtual machines. Experimental results show that the proposed algorithm is effective in reducing the number of used physical machines and in improving the resource utilization of physical machines. The algorithm improves the utilization degree of multi-dimensional resource synergy and reduces the comprehensive unit cost of resources.

• 대한예방한의학회지
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• 제14권2호
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• pp.57-66
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• 2010

Backgrounds : Since December 1, 2009, National Health Insurance began to reimburse for three physical therapies of Korean medicine. The extension of insurance coverage is demanded by Korean medicine societies. Objectives : This study aimed to measure the resource-based relative value scale (RBRVS) scores for thirty four physical therapies of Korean medicine and to estimate the insurer's expenditure for them in National Health Insurance. Methods : To measure the physician's work and the practice expense, the 'magnitude estimation method (MEM)' and the 'fully distributed cost - attributable cost method (FDC-ACM)' were applied respectively. We collected the frequency data of physical therapies from Korean medicine hospitals and clinics to estimate the total expenditure. Results : The resource-based relative value scale scores of physical therapies were measured from 23.44 to 160.66. Total insurer's expenditure was calculated to be 95.5 billion won as of 2009. Conclusions : Based on the result that showed minor increase of total expenditure, most physical therapies of Korean medicine need to be reimbursed in the National Health Insurance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권3호
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• pp.819-837
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• 2014

Data centers, which implement cloud service, have been faced up with quick growth of energy consumption and low efficiency of energy. 60GHz wireless communication technology, as a new option to data centers, can provide feasible approach to alleviate the problems. Aiming at energy optimization in 60GHz wireless data centers (WDCs), we investigate virtualization technology to assign virtual resources to minimum number of servers, and turn off other servers or adjust them to the state of low power. By comprehensive analysis of wireless data centers, we model virtual network and physical network in WDCs firstly, and propose Virtual Resource Mapping Packing Algorithm (VRMPA) to solve energy management problems. According to VRMPA, we adopt packing algorithm and sort physical resource only once, which improves efficiency of virtual resource allocation. Simulation results show that, under the condition of guaranteeing network load, VPMPA algorithm can achieve better virtual request acceptance rate and higher utilization rate of energy consumption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.2914-2935
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• 2016

With the increasing popularization of cloud computing, how to reduce physical energy consumption and increase resource utilization while maintaining system performance has become a research hotspot of virtual machine deployment in cloud platform. Although some related researches have been reported to solve this problem, most of them used the traditional heuristic algorithm based on greedy algorithm and only considered effect of single-dimensional resource (CPU or Memory) on energy consumption. With considerations to multi-dimensional resource utilization, this paper analyzed impact of multi-dimensional resources on energy consumption of cloud computation. A multi-dimensional resource constraint that could maintain normal system operation was proposed. Later, a novel virtual machine deployment method (NVMDM) based on improved particle swarm optimization (IPSO) and Euclidean distance was put forward. It deals with problems like how to generate the initial particle swarm through the improved first-fit algorithm based on resource constraint (IFFABRC), how to define measure standard of credibility of individual and global optimal solutions of particles by combining with Bayesian transform, and how to define fitness function of particle swarm according to the multi-dimensional resource constraint relationship. The proposed NVMDM was proved superior to existing heuristic algorithm in developing performances of physical machines. It could improve utilization of CPU, memory, disk and bandwidth effectively and control task execution time of users within the range of resource constraint.